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Image segmenting is one of the most important steps in movie and image processing and the machine vision applications. The evaluating methods of image segmenting that recently introduced. These evaluation metrics extract some features for each region in a segmented image. In this paper using probabilistic model that utilize the information of pixels (mean and variance) in each region to balance the...
This paper presents a new template matching algorithm in which the central moments are used as the matching features and the idea of integral image are used to decrease the time for image matching process. The algorithm also combines coarse-fine two-stage searching methods to effectively solve the problem of finding the peak point of the correlation functions accurately and robustly. It is different...
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